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Journal of Bioinformatics and Computational Biology

Chandra Verma, Peter Bond
No abstract text is available yet for this article.
December 30, 2016: Journal of Bioinformatics and Computational Biology
Tamara M Khlebodarova, Vladislav V Kogai, Stanislav I Fadeev, Vitaly A Likhoshvai
Today there are examples that prove the existence of chaotic dynamics at all levels of organization of living systems, except intracellular, although such a possibility has been theoretically predicted. The lack of experimental evidence of chaos generation at the intracellular level in vivo may indicate that during evolution the cell got rid of chaos. This work allows the hypothesis that one of the possible mechanisms for avoiding chaos in gene networks can be a negative evolutionary selection, which prevents fixation or realization of regulatory circuits, creating too mild, from the biological point of view, conditions for the emergence of chaos...
November 29, 2016: Journal of Bioinformatics and Computational Biology
Tianci Song, Yan Wang, Wei Du, Sha Cao, Yuan Tian, Yanchun Liang
Breast cancer histologic grade represents the morphological assessment of the tumor's malignancy and aggressiveness, which is vital in clinically planning treatment and estimating prognosis for patients. Therefore, the prediction of breast cancer grade can markedly elevate the detection of early breast cancer and efficiently guide its treatment. With the advent of high-throughput profiling technology, a large number of data of different types are rapidly generated, and each data provides its unique biological insight...
November 29, 2016: Journal of Bioinformatics and Computational Biology
Olga Tarasova, Dmitry Filimonov, Vladimir Poroikov
HIV reverse transcriptase (RT) inhibitors targeting the early stages of virus-host interactions are of great interest to scientists. Acquired HIV RT resistance happens due to mutations in a particular region of the pol gene encoding the HIV RT amino acid sequence. We propose an application of the previously developed PASS algorithm for prediction of amino acid substitutions potentially involved in the resistance of HIV-1 based on open data. In our work, we used more than 3200 HIV-1 RT variants from the publicly available Stanford HIV RT and protease sequence database already tested for 10 anti-HIV drugs including both nucleoside and non-nucleoside RT inhibitors...
November 22, 2016: Journal of Bioinformatics and Computational Biology
Steven M Graff, William E Bentley
Quorum sensing (QS) enables bacterial communication and collective behavior in response to self-secreted signaling molecules. Unlocking its genetic regulation will provide insight towards understanding its influence on pathogenesis, formation of biofilms, and many other phenotypes. There are few datasets available that link QS-mediated gene expression to its regulatory components and even fewer mathematical models that incorporate known mechanistic detail. By integrating these data with annotated sequence information, mathematical inferences can be pieced together that shed light on regulatory structure...
November 16, 2016: Journal of Bioinformatics and Computational Biology
Ruchishree Konhar, Manish Debnath, Jean Valrie Marbaniang, Devendra Kumar Biswal, Pramod Tandon
Intercontinental dislocations between tropical regions harboring two-thirds of the flowering plants have always drawn attention from taxonomists and biogeographers. One such family belonging to angiosperms is Orchidaceae with an herbaceous habit and high species diversity in the tropics. Here, we investigate the evolutionary and biogeographical history of the genus Cymbidium, which represents a monophyletic subfamily (Epidendroideae) of the orchids and comprises 50 odd species that are distinctly distributed in tropical to temperate regions...
November 9, 2016: Journal of Bioinformatics and Computational Biology
Milos Nikolic, Tamara Stankovic, Marko Djordjevic
Accurately detecting transcription start sites (TSS) is a starting point for understanding gene transcription, and an important ingredient in a number of applications necessary for functional gene annotation, such as gene and operon predictions. Available methods for TSS detection in bacteria use very different description of the bacterial promoter structure and all of them show low accuracy. It is therefore unclear which promoter features should be included in TSS recognition, and how their accuracy impacts the search detection...
November 2, 2016: Journal of Bioinformatics and Computational Biology
Varsha Embar, Adam Handen, Madhavi K Ganapathiraju
When a set of genes are identified to be related to a disease, say through gene expression analysis, it is common to examine the average distance among their protein products in the human interactome as a measure of biological relatedness of these genes. The reasoning for this is that, genes associated with a disease would tend to be functionally related, and that functionally related genes would be closely connected to each other in the interactome. Typically, average shortest path length (ASPL) of disease genes (although referred to as genes in the context of disease-associations, the interactions are among protein-products of these genes) is compared to ASPL of randomly selected genes or to ASPL in a randomly permuted network...
December 2016: Journal of Bioinformatics and Computational Biology
(no author information available yet)
No abstract text is available yet for this article.
December 2016: Journal of Bioinformatics and Computational Biology
Beichuan Deng, Seongho Kim, Hengguang Li, Elisabeth Heath, Xiang Zhang
Comprehensive two-dimensional gas chromatography coupled with mass spectrometry (GC[Formula: see text][Formula: see text][Formula: see text]GC-MS) has been used to analyze multiple samples in a metabolomics study. However, due to some uncontrollable experimental conditions, such as the differences in temperature or pressure, matrix effects on samples and stationary phase degradation, there is always a shift of retention times in the two GC columns between samples. In order to correct the retention time shifts in GC[Formula: see text][Formula: see text][Formula: see text]GC-MS, the peak alignment is a crucial data analysis step to recognize the peaks generated by the same metabolite in different samples...
December 2016: Journal of Bioinformatics and Computational Biology
Kirill E Medvedev, Nikolay A Kolchanov, Dmitry A Afonnikov
The understanding of biological and molecular mechanisms providing survival of cells under extreme temperatures and pressures will help to answer fundamental questions related to the origin of life and to design of biotechnologically important enzymes with new properties. Here, we analyze amino acid sequences of the Nip7 proteins from 35 archaeal species to identify positions containing mutations specific to the hydrostatic pressure and temperature of organism's habitat. The number of such positions related to pressure change is much lower than related to temperature change...
October 14, 2016: Journal of Bioinformatics and Computational Biology
Shuigeng Zhou, Phoebe Yi-Ping Chen, Hiroshi Mamitsuka
No abstract text is available yet for this article.
October 3, 2016: Journal of Bioinformatics and Computational Biology
Wilson Wen Bin Goh, Limsoon Wong
In proteomics, useful signal may be unobserved or lost due to the lack of confident peptide-spectral matches. Selection of differential spectra, followed by associative peptide/protein mapping may be a complementary strategy for improving sensitivity and comprehensiveness of analysis (spectra-first paradigm). This approach is complementary to the standard approach where functional analysis is performed only on the finalized protein list assembled from identified peptides from the spectra (protein-first paradigm)...
October 2016: Journal of Bioinformatics and Computational Biology
Kento Kodama, Hiroto Saigo
Despite the accumulation of quantitative trait loci (QTL) data in many complex human diseases, most of current approaches that have attempted to relate genotype to phenotype have achieved limited success, and genetic factors of many common diseases are yet remained to be elucidated. One of the reasons that makes this problem complex is the existence of single nucleotide polymorphism (SNP) interaction, or epistasis. Due to excessive amount of computation for searching the combinatorial space, existing approaches cannot fully incorporate high-order SNP interactions into their models, but limit themselves to detecting only lower-order SNP interactions...
October 2016: Journal of Bioinformatics and Computational Biology
Sohee Oh, Iksoo Huh, Seung Yeoun Lee, Taesung Park
Most genome-wide association studies (GWAS) have been conducted by focusing on one phenotype of interest for identifying genetic variants associated with common complex phenotypes. However, despite many successful results from GWAS, only a small number of genetic variants tend to be identified and replicated given a very stringent genome-wide significance criterion, and explain only a small fraction of phenotype heritability. In order to improve power by using more information from data, we propose an alternative multivariate approach, which considers multiple related phenotypes simultaneously...
October 2016: Journal of Bioinformatics and Computational Biology
Fangzhou Shen, Jian Li, Ying Zhu, Zhuo Wang
Cancer cells have different metabolism in contrast to normal cells. The advancement in omics measurement technology enables the genome-wide characterization of altered cellular processes in cancers, but the metabolic flux landscape of cancer is still far from understood. In this study, we compared the well-reconstructed tissue-specific models of five cancers, including breast, liver, lung, renal, and urothelial cancer, and their corresponding normal cells. There are similar patterns in majority of significantly regulated pathways and enriched pathways in correlated reaction sets...
October 2016: Journal of Bioinformatics and Computational Biology
Kiri Choi, Lucian P Smith, J Kyle Medley, Herbert M Sauro
MOTIVATION: Model simulation exchange has been standardized with the Simulation Experiment Description Markup Language (SED-ML), but specialized software is needed to generate simulations in this format. Text-based languages allow researchers to create and modify experimental protocols quickly and easily, and export them to a common machine-readable format. RESULTS: phraSED-ML language allows modelers to use simple text commands to encode various elements of SED-ML (models, tasks, simulations, and results) in a format easy to read and modify...
September 30, 2016: Journal of Bioinformatics and Computational Biology
Jungsoo Gim, Sungho Won, Taesung Park
High throughput sequencing technology in transcriptomics studies contribute to the understanding of gene regulation mechanism and its cellular function, but also increases a need for accurate statistical methods to assess quantitative differences between experiments. Many methods have been developed to account for the specifics of count data: non-normality, a dependence of the variance on the mean, and small sample size. Among them, the small number of samples in typical experiments is still a challenge. Here we present a method for differential analysis of count data, using conditional estimation of local pooled dispersion parameters...
September 15, 2016: Journal of Bioinformatics and Computational Biology
Naim Al Mahi, Munni Begum
One of the primary objectives of ribonucleic acid (RNA) sequencing or RNA-Seq experiment is to identify differentially expressed (DE) genes in two or more treatment conditions. It is a common practice to assume that all read counts from RNA-Seq data follow overdispersed (OD) Poisson or negative binomial (NB) distribution, which is sometimes misleading because within each condition, some genes may have unvarying transcription levels with no overdispersion. In such a case, it is more appropriate and logical to consider two sets of genes: OD and non-overdispersed (NOD)...
September 15, 2016: Journal of Bioinformatics and Computational Biology
Li Gu, Lichun Xue, Qi Song, Fengji Wang, Huaqin He, Zhongyi Zhang
During commercial transactions, the quality of flue-cured tobacco leaves must be characterized efficiently, and the evaluation system should be easily transferable across different traders. However, there are over 3000 chemical compounds in flue-cured tobacco leaves; thus, it is impossible to evaluate the quality of flue-cured tobacco leaves using all the chemical compounds. In this paper, we used Support Vector Machine (SVM) algorithm together with 22 chemical compounds selected by ReliefF-Particle Swarm Optimization (R-PSO) to classify the fragrant style of flue-cured tobacco leaves, where the Accuracy (ACC) and Matthews Correlation Coefficient (MCC) were 90...
September 9, 2016: Journal of Bioinformatics and Computational Biology
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